Multispectral imaging technique combines space imaging and spectral detecting. It can obtain the spectral information
and image information of object at the same time. Base on this concept, A new method proposed multispectral camera
system to demonstrated plant diseases. In this paper, multispectral camera was used as image capturing device. It
consists of a monochrome CCD camera and 16 narrow-band filters. The multispectral images of Macbeth 24 color
patches are captured under the illumination of incandescent lamp in this experiment The 64 spectral reflectances of each
color patches are calculated using Spline interpolation from 400 to 700nm in the process. And the color of the object is
reproduced from the estimated spectral reflectance. The result for reproduction is contrast with the color signal using
X-rite PULSE spectrophotometer. The average and maximum ΔΕ*ab are 9.23 and 12.81. It is confirmed that the
multispectral system realizes the color reproduction of plant diseases from narrow-band multispectral image.
This paper presents a hardware-based implementation, which is specially designed for fast processing data cube of the novel imaging spectrometer, the Computed-Tomography Imaging Interferometer (CTII). CTII is the combination of the conventional Fourier Transformation Imaging Spectrometer (FTIS) and the Computed-Tomography Imaging Spectrometer (CTIS). CTII retains the advantages of both FTIS and CTIS such as high etendue, high spectral resolution. The price paid for above advantages is much enormous amounts of calculation compared with FTIS and CTIS. The CTII algorithm mainly includes two processing parts. One is Fast Fourier Transformation (FFT) Algorithm, the other is the Convolution Back-Projection (CBP) Algorithm. Since these two parts can be dealt separately, we introduced the pipeline processing technology. In this paper, we develop a hardware-based version of the CTII algorithm to improve its computational performance by resorting to Field Programmable Gate Arrays (FPGA) reconfigurable boards. The proposed FPGA design represents our first step toward the development of a system for onboard analysis of CTII hyperspectral imagery. The results we obtained demonstrate that the concept of the Computed-Tomography Imaging Interferometer (CTII) is correct, and the hardware-based version of the CTII algorithm is high efficiency in processing CTII data cube.
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